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Publications

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2022

 
EFFGAN: Ensembles of fine-tuned federated GANs

2022 IEEE International Conference on Big Data

 
Few-shot bioacoustic event detection using a prototypical network ensemble with adaptive embedding functions

DCASE 2022

 
Financing Solutions for Circular Business Models: Exploring the Role of Business Ecosystems and Artificial Intelligence

Business Strategy and the Environment

 
A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning: Proof of Concept

Fire Technol.

 
Decentralized adaptive clustering of deep nets is beneficial for client collaboration

FL-IJCAI'22

2021

 
Adversarial representation learning for synthetic replacement of private attributes

IEEE BigData 2021

 
Decentralized federated learning of deep neural networks on non-iid data

FL-ICML 2021

 
Scaling Federated Learning for Fine-Tuning of Large Language Models

NLDB 2021

2020

 
Specialized federated learning using a mixture of experts

Arxiv 2020

 
Adversarial representation learning for private speech generation

ICML-SAS 2020

2019

 
Blood glucose prediction with variance estimation using recurrent neural networks

JHIR

 
Grammatical gender in Swedish is predictable using recurrent neural networks

SweCog 2019

 
Semantic segmentation of fashion images using feature pyramid networks

CVCREATIVE 2019

 
Generative modelling of semantic segmentation data in the fashion domain

CVCREATIVE 2019

 
Character-based recurrent neural networks for morphological relational reasoning

JLM 2019

2017

 
Disentanglement by Penalizing Correlation

DisentangleNIPS 2017

 
Character-based recurrent neural networks for morphological relational reasoning

SCLeM 2017

2016

 
Named entity recognition in Swedish health records with character-based deep bidirectional LSTMs

BioTxtM 2016

 
C-RNN-GAN: Continuous recurrent neural networks with adversarial training

CML 2016

 
Assisting discussion forum users using deep recurrent neural networks

RepL4NLP 2016

2015 and earlier

 
Extractive summarization by aggregating multiple similarities

RANLP 2015

 
Visions and open challenges for a knowledge-based culturomics

IJDL 2015

 
Editing simple graphs

JGAA 2014

 
Extractive summarization using continuous vector space models

CVSC 2014

 
Adaptive dynamics of realistic small-world networks

ECCS 2009

Olof Mogren, PhD, RISE Research institutes of Sweden. Follow me on Mastodon.